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mapcaplot - Create Principal Component Analysis (PCA) plot of microarray data

Syntax

mapcaplot(Data)
mapcaplot(Data, Label)

Arguments

DataDataMatrix object or numeric array containing microarray expression profile data. If a DataMatrix object, the row names are used as labels in the plot, unless you provide labels with the second input Label.
LabelCell array of strings representing labels for the data points in the plot.

Description

mapcaplot(Data) creates 2-D scatter plots of principal components of Data, a DataMatrix object or numeric array containing microarray expression profile data.

mapcaplot(Data, Label) uses the elements of the cell array of strings Label, instead of the row numbers, to label the data points in the PCA plots.

Once you plot the principal components, you can:

Examples

load filteredyeastdata
mapcaplot(yeastvalues, genes)

See Also

Bioinformatics Toolbox functions: clustergram, mattest, mavolcanoplot

Statistics Toolbox function: princomp

  


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